Custom block development

Develop custom blocks to use in workflows.


Step 2. Create a custom block manifest

Block manifest

Create a block manifest that defines and updates custom block metadata.

Step 3. Set up data transfer and storage

Data transfer and storage

Set up the data.json file and additional images to be saved to the /tmp/output directory.

Step 4. Test your block locally

Local testing

Test custom blocks locally before publishing.

Step 5. Publish your custom block

Custom block publication

Publish the block so that it can be used in analytics workflows.


How to develop a custom block in Python?

While developing in Python, use the utilities package that contains base classes for processing blocks.

Will other users have access to my algorithm?

No. Other users won't be able to see or download your custom block, as well as access any of the internals.

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